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KARB AI | Meta Ads Optimisation for Ecommerce Brands — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
wehavezeal.com ↗	73 match 1 shared topics	Digital Agency for eCommerce Brands \| Zeal	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
pandaece.com ↗	72 match 1 shared topics	Digital Marketing For ECommerce: SEO \| PPC \| Meta Ads 2025	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
dhairyaorbit.com ↗	72 match 1 shared topics	Dhairya Orbit \| Ecommerce Growth, Meta Ads & Google Ads Agency	en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
a1ugc.com ↗	72 match 1 shared topics	Scale Your eCommerce Brand	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
webrandlab.com ↗	71 match 1 shared topics	WeBrandLab · Performance Marketing for eCommerce Brands	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
searchtoai.com ↗	71 match 1 shared topics	SEO & GEO Optimization for E-commerce Stores \| SearchToAI	en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
discovery-kitchen.com ↗	70 match 1 shared topics	Discovery Kitchen \| Ads management & CRO for E-commerce brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
scaleghostrevenue.com ↗	70 match 1 shared topics	Ghost Revenue — Ecommerce Optimization Agency	United States~ en	marketing-and-advertising Ghost	robotsllmsaihumans	email phone	none
adspert.net ↗	70 match 1 shared topics	AI-Driven PPC Optimization Software: Grow eCommerce Profit	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marinasolovyov.com ↗	70 match 1 shared topics	Marina Solovyov \| Brand Storytelling For E-Commerce Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
scalingunit.com ↗	70 match 1 shared topics	Scale Your eCommerce Brand — Book a Call	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bidnamic.com ↗	70 match 1 shared topics	Bidnamic \| Ads Management & Optimisation Platform	United Kingdom~ en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
adcraft.dev ↗	70 match 1 shared topics	Adcraft — Conversion Optimisation for Google Ads	en	marketing-and-advertising Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
masseffectdigital.com ↗	70 match 1 shared topics	Ecommerce Agency for Scaling Brands \| Mass Effect Digital	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
meetkynship.com ↗	70 match 1 shared topics	Ecommerce Growth Agency for DTC Brands \| Kynship	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
agencyturbomail.org ↗	70 match 1 shared topics	Retention Revenue Systems for E-commerce Brands \| TurboMail Agency	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
boostturbomailagency.com ↗	70 match 1 shared topics	Retention Revenue Systems for E-commerce Brands \| TurboMail Agency	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
gallopecommerce.com ↗	70 match 1 shared topics	GALLOP — Ecommerce Growth for Equine & Pet Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.